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Sleep period dividing method and device

A sleep stage and state signal technology, applied in the information field, can solve the problems of low accuracy and high computational complexity, and achieve the effect of less computational complexity, low computational complexity, and guaranteed accuracy

Active Publication Date: 2018-06-12
CHINA MOBILE COMM LTD RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The study found that in the existing schemes of sleep stage staging or sleep state staging in sleep monitoring, either there is a problem of low accuracy, or there is a problem of high computational complexity

Method used

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  • Sleep period dividing method and device
  • Sleep period dividing method and device

Examples

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example 1

[0147] Such as Figure 4 As shown, this example provides an intelligent judgment method for sleep stages, including:

[0148] First, obtain the signal source, where the signal source includes EEG signal, EOG eye movement signal and EMG signal.

[0149] Secondly, signal preprocessing, the preprocessing here includes amplitude threshold filtering in time domain, wavelet threshold filtering in frequency domain, and de-artifacting of oculoelectricity and myoelectricity.

[0150] Again, feature extraction is performed on the preprocessed signal. The feature extraction here can use the Hjorth parameter to extract time-domain features, extract time-frequency domain features and extract nonlinear features. The time-frequency domain features here include at least: frequency band energy ratio; the nonlinear features at least include sample entropy.

[0151] Finally, sleep stages are identified. In this example, multi-connection rules and SVM model are used for identification. Before ...

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Abstract

The embodiment of the invention discloses a sleep period dividing method and device. The method comprises the steps of acquiring a state signal, wherein the state signal at least comprises a brain electrical signal and an eye electrical signal; conducting time-domain amplitude filtering on the state signal to remove time-domain interference and conducting frequency-domain wavelet filtering on thestate signal to remove frequency-domain interference; utilizing Hjorth parameters to determine time-domain characteristics of the brain electrical signal; conducting time-frequency converting on the brain electrical signal to obtain time-frequency-domain characteristics of the sleep signal; determining the complexity of the brain electrical signal; extracting frequency change information of the eye electrical signal; combining the time-frequency characteristics, the time-frequency-domain characteristics, the complexity and the frequency change information and determining a currently sleep period; extracting characteristics of the state signal from many dimensions. Thus the judgment accuracy is improved, and meanwhile, compared with the prior art, the sleep period dividing method and devicealso have the advantage of being low in calculation complexity.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a sleep stage staging method and device. Background technique [0002] As people pay more and more attention to health, sleep quality monitoring technology has also emerged. Through sleep monitoring, users can make corresponding health strategies conveniently. The study found that in the existing schemes of sleep stage staging or sleep state staging in sleep monitoring, either there is a problem of low accuracy, or there is a problem of high computational complexity. Therefore, it is an urgent problem to be solved in the prior art to provide a sleep state determination method with high accuracy and low computational complexity. Contents of the invention [0003] In view of this, the embodiments of the present invention hope to provide a sleep stage staging method and device, so as to at least partially solve the above problems. [0004] In order to achieve the above obje...

Claims

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Application Information

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IPC IPC(8): A61B5/0476A61B5/0488A61B5/0496A61B5/00
CPCA61B5/4812A61B5/7203A61B5/725A61B5/7267A61B5/369A61B5/389A61B5/398
Inventor 吴娜徐青青方若洁常耀斌许利群
Owner CHINA MOBILE COMM LTD RES INST
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